Freelancer profile translated to English.

Description

Senior Data Scientist (M2 ENSAE), 5 years of experience industrializing Machine Learning models in production — where data truly creates business value.

On my current mission, I contributed to reducing manual processing and associated penalties. My strength: designing, deploying, and maintaining reliable decision-making systems (vision, scoring, inference microservices), not just models that work in notebooks.

I work across the entire chain: modeling (XGBoost, clustering, NLP), MLOps (MLflow, Docker, Airflow, FastAPI), data engineering (Python, PySpark, SQL), and performance monitoring (Power BI). I have worked in retail (ALDI) and the public sector, two environments where cost and quality are concrete challenges.

Available for freelance, remote, or Île-de-France based assignments, and open to missions with travel. Let's talk about your project.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

DOCAPOSTE / SOFTEAM – ANTAI
Senior Data Scientist
November 2022 - Today (3 years and 8 months)
Paris, France
Context: As part of the CNT (National Processing Center) contract, contributed to the industrialization of radar image analysis systems, automatic plate recognition (OCR/LPR), and automatic decision-making, with strong challenges in performance, quality, reduction of manual processing, and cost control.
Business impacts & measured results:
○ Development and improvement of radar image analysis models (OCR / LPR).
○ Specific processing of foreign plates that were difficult to automate.
○ Migration of all AI services to a recent version of Python for the modernization of the AIR chain.
○ Implementation of clustering by equipment type.
○ Development and maintenance of Python microservices (inference, scoring, decision).
○ Monitoring of model performance in production (quality, accuracy, volumes).
○ Implementation of Power BI dashboards (performance KPIs, quality, production, penalties).
○ Development of Talend jobs for ETL and populating analytical databases.
○ Design of predictive systems (volumes, production load).
Environments: Python, PySpark, XGBoost, MLflow, MongoDB, MariaDB, SQL, Airflow, Docker, FastAPI, GitLab, Linux, ELK, Talend, Power BI.
AI Automation Python Computer Vision Machine learning Mathematics
ALDI France (CDI)
Data Scientist – Data Research & Analytics Department
January 2021 - November 2022 (1 year and 10 months)
Paris, France
Key roles and achievements:
○ Design and implementation of A/B testing protocols to aid business decision-making.
○ Selection of control groups representative of store locations using KNN algorithms.
○ Measurement, statistical validation, and interpretation of results (significance tests).
○ Cannibalization effect analyses using regression models.
○ Pricing, inflation, and price index analyses for the Purchasing department.
○ Analysis of customer comments with thematic classification (finance, cleanliness, service, etc.).
○ Clustering of store locations based on business criteria.
○ Analysis of the impact of advertising investments on revenue.
○ Development of ETL pipelines and data quality control procedures.
○ Production of Power BI dashboards for business department management. Environments: Python, R, SQL Server, Power BI, Talend, SAP, Oracle, Azure Databricks.